Compressive sensing imaging for general synthetic aperture radar echo model based on Maxwell’s equations

Author:

Sun Bing,Cao Yufeng,Chen Jie,Li Chunsheng,Qiao Zhijun

Abstract

Abstract A general echo model is derived for the synthetic aperture radar (SAR) imaging with high resolution based on the scalar form of Maxwell’s equations. After analyzing the relationship between the general echo model in frequency domain and the existing model in time domain, a compressive sensing (CS) matrix is constructed from random partial Fourier matrices for processing the range CS SAR imaging. Simulations validate the orthogonality of the proposed CS matrix and the feasibility of CS SAR imaging based on the general echo model.

Publisher

Springer Science and Business Media LLC

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Compressed Sensing using Collaborative-Aware Generative Adversarial Network;2023 IEEE 7th Information Technology and Mechatronics Engineering Conference (ITOEC);2023-09-15

2. Increasing Efficiency in the Correlation Processing of Information Signals for Radar;Lecture Notes in Electrical Engineering;2023

3. Multi-linear sparse reconstruction for SAR imaging based on higher-order SVD;EURASIP Journal on Advances in Signal Processing;2017-06-12

4. A study of the partial acquisition technique to reduce the amount of SAR data;IOP Conference Series: Earth and Environmental Science;2017-01

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